Help › LM Studio Setup for Local AI in Lightroom Classic

Help: LM Studio Setup

Migrated from lrgenius.com/help/lmstudio-setup and curated for repo docs.
Screenshot references were intentionally removed.

1. Install LM Studio

2. Configure LM Studio for LrGeniusAI

  • Enable server mode in LM Studio
  • Ensure server status is running
  • Enable on-demand model loading if preferred

3. Download vision model(s)

For current model recommendations and hardware sizing guidance, see Help: Choosing AI Model.

LM Studio’s built-in model browser shows estimated RAM/VRAM usage and flags models that exceed your system memory — use it to find models that fit your hardware.

4. Performance guidance

  • Prefer the largest model that still fits comfortably in VRAM/unified memory.
  • On Apple Silicon, prefer the MLX variant of the same model — it runs noticeably faster than the GGUF build for vision workloads.
  • For batch indexing on a laptop, a smaller/faster model usually beats waiting on a thrashing large one.

5. Nothing to configure in the plugin

LrGeniusAI finds LM Studio on this computer by itself, at its default address (localhost:1234). Once the server is running, its models appear in every task’s AI Model list as LM Studio · <model>. With LM Studio’s just-in-time model loading (on by default), every downloaded model is listed, not only the loaded ones.

  • LM Studio on another computer (or on a changed port): enter its address, e.g. http://192.168.1.20:1234, as the Other AI server — see Other AI Server.
  • LM Studio’s “Require API token” setting is not supported for the automatic connection. Either leave it off, or enter localhost:1234 as the Other AI server with the token as its API key.
Edit this page on GitHub